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1、基于BN的转辙机故障诊断研究AbstractWiththedevelopmentofChinarailwaytransportationtohigh-speed,high-densityrunningdirection,higherrequirementswasputforwardtorailwaysignalequipment,especiallytoswitchmachine,asthelinesofaction.Atpresent,theswitchmachinerepairisstillusingthetraditionalmodelcombiningfaultmaintena
2、ncerepair,maintenancepersonnelrepairequipmentonlyrelyingontheexperience,notonlyleadstolowaccuracyoffaultdiagnosis,andlongermaintenancetime,hasbeenunabletomeettherapiddevelopmentofrailwaytransportation,seriouslyrestrictedtheimprovementofefficiency,whichalsoisanimportantfactoraffectingtrafficsafet
3、y.Inordertoimprovetheaccuracyoffaultdiagnosisofswitchmachine,reducethetimedelayoffault,itisnecessarytoadoptartificialintelligentmethodstoassistrepairpersonneltojudgethefaultandeliminateitintime.Asawaytodealwiththeuncertainproblem,bayesiannetwork(BN)hasbeenusedinthefieldofaviationandmilitaryandme
4、dicalwiththestronguncertaintyreasoningandlearningability,thefaultdiagnosismodelbasedonbayesiannetworkcanmakeclearandaccuratejudgmentstothequalitativeandquantitativerelationshipbetweenfaultphenomenonandreason.So,themethodsisusedforthefaultdiagnosisofswitchmachine.ThethesisselectsS700Kelectricswit
5、chmachineastheresearchobject,theworkingprincipleofcontrolcircuitandtheswitchisanalisedcarefully.Combineexpertknowledgeandexperienceinthefieldofresearchofsignal,sumupthemaintypesoffailureofcontrolcircuitandmechanicalfaultswitchmachineandthecauses.Listthefaultcausationquestionnaireaccordingtothepr
6、iorprobabilityofthestructureofbayesiannetwork,thenconstructthebayesiannetworkmodelforfaultdiagnosisofswitchmachine.Andthencalculatestheconditionalprobabilitytableforallnodes.Ininputfaultconditions,usecliquetreepropagationalgorithmtoinfertheposteriorprobabilityofthereasonsforthefailure.Becausethe
7、resultsthatestablishedaccordingtodifferentexpertexperienceofdifferentfaultdiagnosismodelsisalsodifferent,soputforwardakindofmodelusingartificialfishswarmalgorithmtooptimizethestructureofbayesiannetwork,whichintegratedifferen
